Summary
This paper describes how SourceMix, a dynamic redundancy technology from VPS, allows Intel® Rack Scale Design (Intel® RSD) customers to take full advantage of system composability and module upgradeability by extending the existing data center power infrastructure.
Smart energy is a trending concept in a field crowded with competing and complementary terms, technologies, and approaches – but has the business case yet been made? Andy Lawrence will share his views on where this technology segment is headed.
GE Critical Power’s new GP100 Power Supply: Balanced Power. Unparalleled Density. 3-Phase Power. 1RU.
Does energy use in your data center keep you up at night? It should.
Your customers rely on you to keep networks flowing and transactions moving 24 hours a day, seven days a week, 365 days a year. Your data center can’t afford not to be highly reliable and energy efficient. It’s a tall order. And one we don’t take lightly.
Never Balance a Load Again. At GE Critical Power, we understand the issues your data center faces. Chief among these is the burden of balancing the load on the AC grid. Not only does this require a vast amount of resources, but it can add operational costs and the need for additional equipment. Enter the GP100, an innovative new technology that powers the future success of mission critical data centers, telecommunications and supercomputing industries by eliminating single-phase balancing issues and ensuring electrical phases grow in equal increments.
More Power. Less Space. GP100 is also extremely compact: four times smaller than competing products on the market today.
The most efficient, most compact, and first 3-Phase 1RU Power Supply for 19" Rack Mount Applications Ever Created. Great Power, Great Performance, Great Innovation, Great Reliability and Great Value. All from the engineers and experienced design teams at GE Critical Power.
Maximize Your Data Center for Virtualization InitiativesSchneider Electric
Presentation focuses on the impact virtualization initiatives have on the data center and more importantly the critical
physical infrastructure supporting the data center. Virtualization is an IT strategy that can easily and quickly impact, with potential negative consequences, the reliability and availability of the data center. Understand the effects and some considerations in the implementation of virtualization.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
[Case study] Dakota Electric Association: Solutions to streamline GIS, design...Schneider Electric
Applications:
Integration of GIS-based processes makes existing circuits and proposed circuits
available in the same system so operations staff can work in parallel with the designers
rather than in succession.
Customer benefits
• Model, design and manage critical infrastructure
• Highly configurable
• Easily adapted for multiple uses
• Proactively identify needed repairs and replacements well in advance
Improving your PUE while consolidating into an existing live data centerSchneider Electric
While there are multiple consolidation options to consider, upgrading an existing data center has a significantly lower capital investment, requires no new real estate acquisition, can be phased to match IT refresh cycles and IT virtualization, and can be done while the data center is live. This session explores these considerations which are particularly important in the Federal space as well as a high density POD overlay discussion and approaches to reducing PUE.
Smart energy is a trending concept in a field crowded with competing and complementary terms, technologies, and approaches – but has the business case yet been made? Andy Lawrence will share his views on where this technology segment is headed.
GE Critical Power’s new GP100 Power Supply: Balanced Power. Unparalleled Density. 3-Phase Power. 1RU.
Does energy use in your data center keep you up at night? It should.
Your customers rely on you to keep networks flowing and transactions moving 24 hours a day, seven days a week, 365 days a year. Your data center can’t afford not to be highly reliable and energy efficient. It’s a tall order. And one we don’t take lightly.
Never Balance a Load Again. At GE Critical Power, we understand the issues your data center faces. Chief among these is the burden of balancing the load on the AC grid. Not only does this require a vast amount of resources, but it can add operational costs and the need for additional equipment. Enter the GP100, an innovative new technology that powers the future success of mission critical data centers, telecommunications and supercomputing industries by eliminating single-phase balancing issues and ensuring electrical phases grow in equal increments.
More Power. Less Space. GP100 is also extremely compact: four times smaller than competing products on the market today.
The most efficient, most compact, and first 3-Phase 1RU Power Supply for 19" Rack Mount Applications Ever Created. Great Power, Great Performance, Great Innovation, Great Reliability and Great Value. All from the engineers and experienced design teams at GE Critical Power.
Maximize Your Data Center for Virtualization InitiativesSchneider Electric
Presentation focuses on the impact virtualization initiatives have on the data center and more importantly the critical
physical infrastructure supporting the data center. Virtualization is an IT strategy that can easily and quickly impact, with potential negative consequences, the reliability and availability of the data center. Understand the effects and some considerations in the implementation of virtualization.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
[Case study] Dakota Electric Association: Solutions to streamline GIS, design...Schneider Electric
Applications:
Integration of GIS-based processes makes existing circuits and proposed circuits
available in the same system so operations staff can work in parallel with the designers
rather than in succession.
Customer benefits
• Model, design and manage critical infrastructure
• Highly configurable
• Easily adapted for multiple uses
• Proactively identify needed repairs and replacements well in advance
Improving your PUE while consolidating into an existing live data centerSchneider Electric
While there are multiple consolidation options to consider, upgrading an existing data center has a significantly lower capital investment, requires no new real estate acquisition, can be phased to match IT refresh cycles and IT virtualization, and can be done while the data center is live. This session explores these considerations which are particularly important in the Federal space as well as a high density POD overlay discussion and approaches to reducing PUE.
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
There are many factors in the data center that are driving the new data center design considerations. This slideshare discusses several of the trends in the data center and covers several solutions to implement.
Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. This paper describes the principles of a new, commercially available data center
architecture that can be implemented today to dramatically improve the electrical efficiency of data centers.
The Schneider Electric underground self-healing solution can restore power to healthy areas of a distribution network in under 30 seconds. Our self-healing innovation improves re-energisation time and availability by independently isolating faults and swiftly restoring service to those areas of the grid directly unaffected. This decentralized solution is based on an off-the-shelf product, the Schneider Electric Easergy T200 substation control unit which establishes peer-to-peer communication over an IP network.
The combination of Cisco's UCS Manager and Schneider Electric's DCIM solution provides Cisco UCS customers with an opportunity to bridge the gap between IT and Facilities, offer transparency across the two silos, and positively impact the rest of the organization – both in terms of efficiency, uptime and capex/opex costs. This is achieved by optimising the existing physical infrastructure capacities, thus reducing overprovisioning and improving the balance between supply and demand, resulting in continual availability and optimal energy efficiency.
Data Center Power Infrastructure, Data Center Power Infrastructure explained, how is power distributed in the data center, what is the use of the generator in the data center
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...Spiceworks
Power infrastructure is no longer a standalone item in your IT toolkit. Virtualization, connectivity and the cloud are having a profound impact on how power management is being integrated into the IT environment. Join Eaton to learn more about how these trends are shaping the future of power protection.
More and more, as utilities face decreasing margin between system load and system capacity, they are in need of innovative smart grid solutions that can help them effectively disperse and store energy and manage load to meet resource requirements. Many are incorporating Distributed Energy Resources (DERs) to help fill the gap while, at the same time, meet requirements for reduced emissions and energy independence; these utilities will require the capability to accurately forecast and control DER contribution to the network, to assure security and grid reliability.
Advanced smart grid software designed to support DER management and optimize grid operations and planning works with a real-time network model, based on an accurate geodatabase and incorporating data from operational systems such as a supervisory control and data acquisition (SCADA) system and outage management system (OMS). Along with real-time visualization and monitoring of network status, this Advanced Distribution Management System – ADMS – provides a host of analytical tools that recommend the most optimal device operations, or optionally automate device operations, to maximize network efficiency and reliability. For example, the utility can apply Volt/VAR control to reduce feeder voltage automatically with no effect on the consumer. Detailed load profiling and load forecasting based on integrated weather feeds yield network load forecasting for effective renewables integration. Network simulation helps forecast medium-term and long-term load and supports effective development and planning.
ADMS functionality and tools are demonstrating that utilities can effectively manage demand without building large-scale generation.
Do you think how big companies like google, facebook , adobe, ...etc, are store millians of data and also how they secure all those data. Please watch to know all these actual reality.
Presentation from Networkshop46.
Brunel’s experience of designing networks and systems to use the Jisc shared data centre - by Simon Furber, Brunel University
Developing an internal business case, and the associated benefits and savings, to support use of the Jisc shared datacentre - by Mike Cope, UCL
Hyper convergence - our journey to the future - George Ford, University of Creative Arts
Understanding Power Redundancy Levels in Data CentersMDC Data Centers
Redundancy is a critical factor when choosing a Data Center provider because it directly affects the level of systems availability. There are several power components in a Data Center, and every one of them is a point of failure, which can incur significant financial and data losses for your company.
Get to know more about levels of redundancy and choose what's best for your business.
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
There are many factors in the data center that are driving the new data center design considerations. This slideshare discusses several of the trends in the data center and covers several solutions to implement.
Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. This paper describes the principles of a new, commercially available data center
architecture that can be implemented today to dramatically improve the electrical efficiency of data centers.
The Schneider Electric underground self-healing solution can restore power to healthy areas of a distribution network in under 30 seconds. Our self-healing innovation improves re-energisation time and availability by independently isolating faults and swiftly restoring service to those areas of the grid directly unaffected. This decentralized solution is based on an off-the-shelf product, the Schneider Electric Easergy T200 substation control unit which establishes peer-to-peer communication over an IP network.
The combination of Cisco's UCS Manager and Schneider Electric's DCIM solution provides Cisco UCS customers with an opportunity to bridge the gap between IT and Facilities, offer transparency across the two silos, and positively impact the rest of the organization – both in terms of efficiency, uptime and capex/opex costs. This is achieved by optimising the existing physical infrastructure capacities, thus reducing overprovisioning and improving the balance between supply and demand, resulting in continual availability and optimal energy efficiency.
Data Center Power Infrastructure, Data Center Power Infrastructure explained, how is power distributed in the data center, what is the use of the generator in the data center
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...Spiceworks
Power infrastructure is no longer a standalone item in your IT toolkit. Virtualization, connectivity and the cloud are having a profound impact on how power management is being integrated into the IT environment. Join Eaton to learn more about how these trends are shaping the future of power protection.
More and more, as utilities face decreasing margin between system load and system capacity, they are in need of innovative smart grid solutions that can help them effectively disperse and store energy and manage load to meet resource requirements. Many are incorporating Distributed Energy Resources (DERs) to help fill the gap while, at the same time, meet requirements for reduced emissions and energy independence; these utilities will require the capability to accurately forecast and control DER contribution to the network, to assure security and grid reliability.
Advanced smart grid software designed to support DER management and optimize grid operations and planning works with a real-time network model, based on an accurate geodatabase and incorporating data from operational systems such as a supervisory control and data acquisition (SCADA) system and outage management system (OMS). Along with real-time visualization and monitoring of network status, this Advanced Distribution Management System – ADMS – provides a host of analytical tools that recommend the most optimal device operations, or optionally automate device operations, to maximize network efficiency and reliability. For example, the utility can apply Volt/VAR control to reduce feeder voltage automatically with no effect on the consumer. Detailed load profiling and load forecasting based on integrated weather feeds yield network load forecasting for effective renewables integration. Network simulation helps forecast medium-term and long-term load and supports effective development and planning.
ADMS functionality and tools are demonstrating that utilities can effectively manage demand without building large-scale generation.
Do you think how big companies like google, facebook , adobe, ...etc, are store millians of data and also how they secure all those data. Please watch to know all these actual reality.
Presentation from Networkshop46.
Brunel’s experience of designing networks and systems to use the Jisc shared data centre - by Simon Furber, Brunel University
Developing an internal business case, and the associated benefits and savings, to support use of the Jisc shared datacentre - by Mike Cope, UCL
Hyper convergence - our journey to the future - George Ford, University of Creative Arts
Understanding Power Redundancy Levels in Data CentersMDC Data Centers
Redundancy is a critical factor when choosing a Data Center provider because it directly affects the level of systems availability. There are several power components in a Data Center, and every one of them is a point of failure, which can incur significant financial and data losses for your company.
Get to know more about levels of redundancy and choose what's best for your business.
SLA-aware Dynamic CPU Scaling in Business Cloud Computing EnvironmentsZhenyun Zhuang
IEEE CLOUD 2015
Modern cloud computing platforms (e.g. Linux
on Intel CPUs) feature ACPI-based (Advanced Configuration
and Power Interface) mechanism, which dynamically scales
CPU frequencies/voltages to adjust the CPU frequencies based
on the workload intensity. With this feature, CPU frequency
is reduced when the workload is relatively light in order to
save energy; while increased when the workload intensity is
relatively high.
In business cloud computing environments, software products/
services often need to “scale out” to multiple machines to
form a cluster to achieve a pre-defined aggregated performance
goal (e.g., SLA-devised throughput). To reduce business operation
cost, minimizing the provisioned cluster size is critical.
However, as we show in this work, the working of ACPI
in today’s modern OS may result in more machines being
provisioned, hence higher business operation cost,
To deal with this problem, we propose a SLA-aware CPU
scaling algorithm based on business SLA (Service Level Agreement
aware). The proposed design rational and algorithm are
a fundamental rethinking of how ACPI mechanisms should be
implemented in business cloud computing environments. Contrary
to the current forms of ACPI which simply adapt CPU
power levels only based on workload intensity, the proposed
SLA-aware algorithm is primarily based on current application
performance relative to the pre-defined SLA. Specifically, the
algorithm targets at achieving the pre-defined SLA as the toplevel
goal, while saving energy as the second-level goal.
Windows server power_efficiency___robben_and_worthington__finalBruce Worthington
Computer Measurement Group Journal, Spring 2009.
Windows Server power efficiency has improved from release to release over the past decade. This paper presents the methodology and data used to validate the existing Windows Server power management algorithms, covers server-class processor and component power measurements, and discusses some Windows’ power measurement tools and future power optimizations.
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEMNexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEMNexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A SURVEY ON DYNAMIC ENERGY MANAGEMENT AT VIRTUALIZATION LEVEL IN CLOUD DATA C...cscpconf
Data centers have become indispensable infrastructure for data storage and facilitating the development of diversified network services and applications offered by the cloud. Rapid
development of these applications and services imposes various resource demands that results in increased energy consumption. This necessitates the development of efficient energy management techniques in data center not only for operational cost but also to reduce the amount of heat released from storage devices. Virtualization is a powerful tool for energy
management that achieves efficient utilization of data center resources. Though, energy management at data centers can be static or dynamic, virtualization level energy management
techniques contributes more energy conservation than hardware level. This paper surveys various issues related to dynamic energy management at virtualization level in cloud data
centers.
A survey on dynamic energy management at virtualization level in cloud data c...csandit
Data centers have become indispensable infrastructure for data storage and facilitating the
development of diversified network services and applications offered by the cloud. Rapid
development of these applications and services imposes various resource demands that results
in increased energy consumption. This necessitates the development of efficient energy
management techniques in data center not only for operational cost but also to reduce the
amount of heat released from storage devices. Virtualization is a powerful tool for energy
management that achieves efficient utilization of data center resources. Though, energy
management at data centers can be static or dynamic, virtualization level energy management
techniques contributes more energy conservation than hardware level. This paper surveys
various issues related to dynamic energy management at virtualization level in cloud data
centers.
Effective power management is quickly becoming a major concern for data centers of all sizes. Specialized power management software is now available to help meet these needs. We tested two of these power management tools, Dell OpenManage Power Center and JouleX Energy Manager for Data Centers.
Both Dell OpenManage Power Center 2.0 and JouleX Energy Manager address some of the most common critical power tasks for your data center servers. JouleX Energy Manager is a product that includes additional features, but you must pay upfront acquisition costs and incur recurring software maintenance costs for potentially less-common features that just a subset of IT departments may implement. In contrast, Dell OpenManage Power Center, when used in conjunction with iDRAC Enterprise, comes at a very compelling price point – $0.00. This translates to a great value and an immediate return on investment.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy and Intel Rack Scale Design (RSD)
1. Overcoming Rack Power Limits with
VPS Dynamic Redundancy
and Intel® RSD
Summary
This paper describes how SourceMix, a dynamic redundancy technology from VPS, allows
Intel® Rack Scale Design (Intel® RSD) customers to take full advantage of system
composability and module upgradeability by extending the existing data center power
infrastructure.
1. Introduction to Intel® RSD
Intel® RSD is a new data center architecture that physically separates or “disaggregates”
compute, storage and network resources into unallocated groups called pools, which can be
efficiently assembled or “composed” on demand to create a precise hardware configuration to
match a specific software workload requirement. In addition, Intel® RSD provides a
comprehensive management architecture for all resources in the data center, enabling a true
software defined infrastructure based on open APIs. Intel® RSD concepts of disaggregation,
pooling and composition are shown in Figure 1.
Figure 1 Intel® RSD Overview
2. Intel® RSD supports dynamic composition of platforms for specific workloads, and the ability to
easily upgrade modules to gain additional capacity. But the flexibility to compose and re-
compose platforms can be limited by the data center power infrastructure if a new configuration
exceeds the power available in a rack. A more dynamic power infrastructure complements and
extends the flexibility offered by Intel® RSD.
2. Dynamic Redundancy from VPS
Virtual Power Systems, a Silicon Valley-based startup, has developed the Software-Defined
Power® (SDP) product suite to unlock capacity and remove power constraints by implementing
the principles of disaggregation and composition within the power infrastructure. Using SDP,
data center suppliers can provide additional flexibility in their Intel® RSD solutions. End-
customers can deploy SDP on their own in their existing infrastructure.
A key component of SDP is called SourceMix, which addresses the need for Dynamic
Redundancy. This technology complements the static power infrastructure in a typical data
center by providing intelligent, software-defined power redundancy through optimized control of
power flow switches. SDP’s in-rack switches allow customers using dual-corded power
distribution to dynamically assign power redundancy while staying within the overall capacity of
the power infrastructure. SourceMix dynamic power redundancy allocation can optimize the mix
of single and dual corded power distribution to unlock unused power capacity as workload
requirements change.
Figure 2 shows an intelligent SDP power switch at the top of a rack, which can route input
power from both incoming feeds to power distribution units (PDUs) in the rack. Each module
(compute, storage, network, etc.) in the rack is connected to two PDUs (one for cord A and one
for chord B). Power redundancy can then be controlled dynamically under software control via
the power flow switch. The switch uses software-defined policies to control redundancy based
on the priorities of the workload in the rack, and predictive algorithms based on historical load
patterns in the data center.
3. Figure 2. Power switch at the top of a rack controlling redundant power feeds.
At any point in time, the switch can decide to power a module (sled, chassis) using both PDUs,
a single PDU or none at all. This determines the power redundancy—2N or 1N—for each
module. When operating in 2N mode, a feed failure will automatically cause power to be drawn
from the other PDU. In 1N mode, a feed failure will cause the switch to make an instantaneous
decision based on the current power situation and workload priority to either keep a module on
the current feed, switch to the alternate feed, or turn the module off completely to operate within
available power limits. Switches can also be configured to force a 1N module to prioritize power
draw from a particular feed.
4. Through software-driven control of these switches, VPS SourceMix dynamic redundancy
provides two distinct benefits:
1. Unlocking Redundant Power: Colocation providers and enterprise data centers can
unlock additional power from their redundant infrastructure for active ongoing use.
2. On-demand Redundancy: Intelligent provisioning systems like Intel® RSD POD
Manager can dynamically control the redundancy of their compute and storage nodes to
ensure high-availability of critical systems as configurations change.
3. Unlocking Redundant Power
Data centers provide power redundancy to make workloads fault-tolerant to utility and power
equipment failures. They create alternate power paths that can take on additional load in the
event of failures. Figure 3 illustrates a representative 2 Megawatt (MW) data center with two
fully redundant power paths from the substation (or from two different utilities). Its high-priority
workloads are connected to both power paths in a 2N configuration. If one feed were to fail, the
other feed is fully capable of handling the entire workload.
Figure 3. Redundant power paths to 2N workloads in a data center.
In this example, the power system is designed for a 2 MW maximum load, but most data
centers operate at a much lower utilization—often in the range of 20% to 40%. For our
illustrative data center, we assume a 40% normal utilization with peaks going up to 80% about
10% of the time—a very conservative estimate. Figure 3 shows power utilization during
“Normal” operation (both feeds supplying power normally) and “Failure” operation (when one of
the power feeds is not operating). Each feed contributes only 0.4MW for 90% of the time, and
0.8 MW for roughly 10% of the time. In the rare occurrence of a failure of one of the feeds
5. during peak load, the other feed would need to provide 1.6MW, but this is expected less than
0.01% of the time. So 99.9% of the time, total power capacity is significantly underutilized.
This presents an opportunity for colocation providers and enterprise data centers to use some of
this overprovisioned capacity for lower priority workloads (we call them “less than 2N” or “<2N”).
Figure 4 shows the power that can be unlocked in our example data center. There’s a potential
to add almost 2.4MW of workload 99.9% of the time! However, if you were to add more
workload in the existing power architecture as is, you run the risk of overloading either feed in
case of a failure. This would have the disastrous effect of bringing the whole data center down,
including the 2N workloads.
Figure 4: Capacity unlocked by dynamic redundancy.
VPS SourceMix can unlock power capacity while mitigating the risk of bringing critical workloads
down due to a power failure. SourceMix uses information on power consumed by power
switches across the entire data center, allowing the switches to coordinate with each other. The
system reacts quickly when there is failure by cutting power to non-critical workloads and
leaving critical loads fully operational within the limits of the available feeds.
To ensure fast, correct and coordinated reaction from the switches, VPS’s patent-pending
algorithms analyze data center-wide power consumption and compress this information into a
few bits of data, which are then distributed to all the intelligent switches via a managed network.
This information is updated every 10 to 20 seconds, and takes into account overall trends to
6. anticipate critical situations. The exact information sent to each switch is different based on the
nature of the power problem, where the switch is located in the data center topology and the
priority of the loads it controls. This allows SourceMix to deliver millisecond reaction times at the
switches to maintain critical workloads without exceeding maximum power constraints.
4. On-Demand Redundancy
VPS SourceMix also allows third-party provisioning and orchestration systems to dynamically
designate the power redundancy needed at a particular rack or node. One designated, the
SourceMix algorithms re-compute policies for the power switches to ensure that the requested
redundancy is honored. These designations can be changed as often as needed.
Figure 5. Intel® RSD Composable power.
This complements the Intel® RSD design philosophy because modules don’t need to be
permanently designated as 2N by virtue of physical cabling. Redundancy can be allocated
dynamically when a system is composed. If a 2N compute or storage module fails, a new
system can be composed and the workload migrated to it. VPS SourceMix allows the power
redundancy configuration to also move to the newly composed system, maintaining 2N power
provisioning for the critical workload.
By integrating SourceMix into the Intel® RSD infrastructure, the on-demand power redundancy
capabilities of VPS can be used by orchestration software to deliver dynamic redundancy
across racks or within nodes in the same rack as requirements change.
7. 5. Handling Cooling and Other Realities
When new power consumption is enabled by VPS, it also affects the cooling load. In our
example, data center the cooling plant might be sized to a maximum of 2MW. What happens
when we use SourceMix to enable more power consumption?
In most data centers, just as the actual power utilization is often significantly below the
provisioned capacity, the cooling capacity is also underutilized to a similar extent. So additional
power consumption enabled by SourceMix is within the maximum cooling load limit a vast
majority of the time. VPS SourceMix gathers power consumption information at sub-second
intervals to fuel its decisions, so it can react quickly to any normal or abnormal increases in
utilization, keeping total power consumption within the limits of cooling and other physical
constraints.
6. Adaptive Intelligence
The VPS solution incorporates learning algorithms that analyze and predict power consumption
to improve capacity utilization over time. Multiple levels of monitoring, control and optimization
intelligence, as shown in Figure 5, ensure that short-term and long-term power consumption
trends are taken into account in managing dynamic redundancy.
Figure 5. SDP Hierarchy of Optimization and Intelligence
VPS’s solutions are available for commercial use via their SDP suite, and are ready for
integration with other data center management systems via well-defined APIs. Implementing an
8. SDP solution involves installing the hardware anywhere in a rack, and installing the software on
any server that is network accessible, enabling fast turn-key deployments.
7. Conclusions
Integration with VPS SourceMix technology increases the effectiveness of Intel® RSD
implementations by enabling dynamic control of power redundancy by the Intel® RSD Pod
Manager to ensure high availability of critical workloads in case of power or power equipment
failure. SourceMix can also unlock underutilized power capacity by optimizing the use of power
redundancy in the data center.